Sebastian Krüger
277f1c95bd
- Multi-modal AI infrastructure for RunPod RTX 4090 - Automatic model orchestration (text, image, music) - Text: vLLM + Qwen 2.5 7B Instruct - Image: Flux.1 Schnell via OpenEDAI - Music: MusicGen Medium via AudioCraft - Cost-optimized sequential loading on single GPU - Template preparation scripts for rapid deployment - Comprehensive documentation (README, DEPLOYMENT, TEMPLATE)
17 lines
1.2 KiB
Docker
17 lines
1.2 KiB
Docker
FROM facefusion/facefusion:3.5.0-cpu
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# Patch content_analyser.py to disable NSFW filter
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RUN sed -i '197s/.*/\treturn False # Patched: NSFW filter disabled/' /facefusion/facefusion/content_analyser.py && \
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grep -q 'return False.*Patched' /facefusion/facefusion/content_analyser.py || (echo "ERROR: Patch failed!" && exit 1)
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# Calculate new hash for patched content_analyser
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RUN python3 -c "import inspect; import sys; sys.path.insert(0, '/facefusion'); from facefusion import content_analyser; from facefusion.hash_helper import create_hash; content = inspect.getsource(content_analyser).encode(); print('New hash:', create_hash(content))"
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# Update hash check in core.py to accept patched version
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RUN NEW_HASH=$(python3 -c "import inspect; import sys; sys.path.insert(0, '/facefusion'); from facefusion import content_analyser; from facefusion.hash_helper import create_hash; content = inspect.getsource(content_analyser).encode(); print(create_hash(content))") && \
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sed -i "s/content_analyser_hash == 'b14e7b92'/content_analyser_hash == '$NEW_HASH'/" /facefusion/facefusion/core.py && \
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echo "Updated hash check in core.py to: $NEW_HASH"
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# Verify both patches were applied
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RUN echo "NSFW filter patch successfully applied to image"
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